As previously promised I’ve updated the Myriad samples with a concurrent demo that more or less follows the same workflow as the 60 day technical review video. Included in the project for your convenience is a pre-trained machine learning model that’s learned to recognize indications of structural damage in C-scan maps. Although I originally trained it on ultrasonic sensor data, it did show some promise when I tried it out with microwave and X-ray data.

You’d most likely want to train it a bit more on data representative of your inspection to get the best results.

It’s a little amazing to me that ~250 lines of Java gets you a concurrent fault-tolerant damage detection app, but that’s very much courtesy the very excellent Akka framework. Well worth a look for your next project!